Skip to main content

Deontic Reasoning for Legal Ontologies

  • Conference paper
  • First Online:
The Semantic Web (ESWC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11503))

Included in the following conference series:

  • 2580 Accesses

Abstract

Many standards exist to formalize legal texts and rules. The same is true for legal ontologies. However, there is no proof theory to draw conclusions for these ontologically modeled rules. We address this gap by the proposal of a new modeling of deontic statements, and then we use this modeling to propose reasoning mechanisms to answer deontic questions i.e., questions like “Is it mandatory/permitted/prohibited to...”. We also show that using this modeling, it is possible to check the consistency of a deontic rule base. This work stands as a first important step towards a proof theory over a deontic rule base.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.jdrew.org/oojdrew/.

  2. 2.

    https://www.prova.ws/.

  3. 3.

    http://lpis.csd.auth.gr/systems/dr-device.html.

  4. 4.

    https://nxbre.soft112.com/.

  5. 5.

    http://wiki.ruleml.org/index.php/PSOA_RuleML#Implementation.

  6. 6.

    Excerpt from Article 10 of arrêté https://tinyurl.com/arrete2002. CROSS is a Regional Operational Centre for Monitoring and Rescue.

  7. 7.

    The prefixes are the following: \(\texttt {owl:<}\)http://www.w3.org/2002/07/owl\(\texttt {>}\), \(\texttt {:<}\)http://example.com/\(\texttt {>}\), \(\texttt {rdf:<}\)http://www.w3.org/1999/02/22-rdf-syntax-ns\(\texttt {>}\), \(\texttt {rdfs:<}\)http://www.w3.org/2000/01/rdf-schema\(\texttt {>}\), \(\texttt {shom:<}\)http://example.com/shom\(\texttt {>}\), \(\texttt {lrmlmm:<}\)http://docs.oasis-open.org/legalruleml/ns/v1.0/metamodel\(\texttt {>}\),

  8. 8.

    I.e., not the same and not broader than (within the meaning of \(\subseteq ^+\)).

  9. 9.

    The full (French) version of the text is available at https://tinyurl.com/y77x32y3.

References

  1. Gordon, T.F.: The legal knowledge interchange format (LKIF). Technical report, ESTRELLA Project http://www.estrellaproject.org/doc/Estrella-D4.1.pdf

  2. Boley, H., Tabet, S., Wagner, G.: Design rationale of RuleML: a markup language for semantic web rules. In: 1st International Conference on SW Working, pp. 381–401 (2001)

    Google Scholar 

  3. Palmirani, M., Governatori, G., Athan, T., Boley, H., Paschke, A., Wyner, A.: LegalRuleML core specification version 1.0. OASIS Committee Specification Draft 01 / Public Review Draft 01, October 2016

    Google Scholar 

  4. OMG: Semantics of Business Vocabulary and Business Rules (SBVR), v1.0. Technical report, Object Management Group (2008). https://www.omg.org/spec/SBVR/1.0/

  5. Winkels, R., Boer, A., Hoekstra, R.: CLIME: lessons learned in legal information serving. In: Proceedings of the 15th ECAI, pp. 230–234. IOS Press (2002)

    Google Scholar 

  6. Valente, A., Breuker, J.: A functional ontology of law. Artif. Intell. law 7, 241–361 (1994)

    Google Scholar 

  7. Gangemi, A.: Design patterns for legal ontology constructions. LOAIT 2007, 65–85 (2007)

    Google Scholar 

  8. Lame, G.: Using NLP techniques to identify legal ontology components: concepts and relations. In: Benjamins, V.R., Casanovas, P., Breuker, J., Gangemi, A. (eds.) Law and the Semantic Web. LNCS (LNAI), vol. 3369, pp. 169–184. Springer, Heidelberg (2005). https://doi.org/10.1007/978-3-540-32253-5_11

    Chapter  Google Scholar 

  9. Yurchyshyna, A., Zarli, A.: An ontology-based approach for formalisation and semantic organisation of conformance requirements in construction. Autom. Constr. 18(8), 1084–1098 (2009)

    Article  Google Scholar 

  10. Pauwels, P., et al.: A semantic rule checking environment for building performance checking. Autom. Constr. 20(5), 506–518 (2011)

    Article  Google Scholar 

  11. Kacfah Emani, C.: Automatic detection and semantic formalisation of business rules. In: Presutti, V., d’Amato, C., Gandon, F., d’Aquin, M., Staab, S., Tordai, A. (eds.) ESWC 2014. LNCS, vol. 8465, pp. 834–844. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07443-6_57

    Chapter  Google Scholar 

  12. Hassanpour, S., O’Connor, M.J., Das, A.K.: A framework for the automatic extraction of rules from online text. In: Bassiliades, N., Governatori, G., Paschke, A. (eds.) RuleML 2011. LNCS, vol. 6826, pp. 266–280. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22546-8_21

    Chapter  Google Scholar 

  13. Kang, S., et al.: Extraction of manufacturing rules from unstructured text using a semantic framework. In: ASME 2015 American Society of Mechanical Engineers (2015)

    Google Scholar 

  14. Hoekstra, R., Breuker, J., Di Bello, M., Boer, A., et al.: The LKIF core ontology of basic legal concepts. LOAIT 321, 43–63 (2007)

    Google Scholar 

  15. Gordon, T.F.: Constructing legal arguments with rules in the legal knowledge interchange format (LKIF). In: Casanovas, P., Sartor, G., Casellas, N., Rubino, R. (eds.) Computable Models of the Law. LNCS (LNAI), vol. 4884, pp. 162–184. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-85569-9_11

    Chapter  Google Scholar 

  16. Boley, H., Paschke, A., Shafiq, O.: RuleML 1.0: the overarching specification of web rules. In: Dean, M., Hall, J., Rotolo, A., Tabet, S. (eds.) RuleML 2010. LNCS, vol. 6403, pp. 162–178. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16289-3_15

    Chapter  Google Scholar 

  17. Van De Ven, S., Hoekstra, R., Breuker, J., Wortel, L., El Ali, A.: Judging amy: automated legal assessment using OWL 2. In: OWLED, vol. 432 (2008)

    Google Scholar 

  18. Antoniou, G., Billington, D., Governatori, G., Maher, M.J.: Representation results for defeasible logic. ACM TOCL 2(2), 255–287 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  19. Searle, J.R.: The Construction of Social Reality. Simon and Schuster, New York (1995)

    Google Scholar 

Download references

Acknowledgements

This work is funded by the Service hydrographique et océanographique de la marine (Shom) as part of the reizhmor project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yannis Haralambous .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Emani, C.K., Haralambous, Y. (2019). Deontic Reasoning for Legal Ontologies. In: Hitzler, P., et al. The Semantic Web. ESWC 2019. Lecture Notes in Computer Science(), vol 11503. Springer, Cham. https://doi.org/10.1007/978-3-030-21348-0_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-21348-0_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21347-3

  • Online ISBN: 978-3-030-21348-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics